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YVANN Vid2Vid Automated IP2P Masking SDXL Workflow

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Updated: Jun 16, 2024
tool
Type
Workflows
Stats
740
Reviews
Published
Jun 7, 2024
Base Model
SD 1.5 LCM
Hash
AutoV2
D7202CD319
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yvann_mp4

Full YouTube Walkthrough of the Workflows🌸 :

What you can do with the workflows included:

IP2P_MASKING_AUTOMATED_VID2VID:

  • Automatically mask your videos

  • Transform the shapes and textures of specific parts of your video using mask conditioning, IPAdapter, and IP2P ControlNet

  • Automatically iterate through different styles for your video without monitoring

  • Automatically add IPAdapter image descriptions directly in your prompt (using LLM)

  • Composite any background with your AI result directly in the workflow

SDXL_TURBO_STYLE_TRANSFER_VID2VID (based on Simon Lee's work):

  • Uniformize in a common style a video input composed of different styles/assets

  • Texture/stylize your video using SDXL Turbo, which allows for high quality and adherence

  • Automatically adjust colorimetry based on the input image style

  • Upscale your input video resolution with an upscaler and multi-pass KSampler

Common features of these workflows:

- Save your output outside the ComfyUI Folder with a custom folder tree structure

I have also included all the assets useful for these Workflows (Manuals Masks, Input Videos, Results).

If you have trouble with these Workflows, please contact me on my Instagram ;)

Good luck and Have Fun!

Shoutout to all the awesome devs behind the custom nodes used in these workflows! Don't forget to star their GitHub projects! 😄